What do you do if AI technologies are disrupting your existing workflows?

The very idea of AI is to inflict changes in workflows. Be it a recommender system that advises on your decisions, or a GenAI that creates your content you will always change the workflow by introducing interactions with new AI solutions. On the bright side, if implemented wisely, the AI tool will enable you to interact with it as if it were your assistant or just another system you work with. The AI part should be transparent to the end user.

1. Embrace the change that AI brings to your work processes, recognizing it as a tool for optimization rather than a threat. 2. Start by assessing how AI impacts your current workflows, identifying areas where it can enhance efficiency. 3. Determine which tasks still require human input to maintain a balance between automation and human expertise. 4. By understanding the role of AI and human involvement, you can ensure that your team remains integral to the workflow while benefiting from AI's capabilities.

Embracing change is a gradual time-consuming process. AI implementations, like any other disruptive change, go through a transition curve. There are variables of Self-Esteem & Time where these stages phase out from one to the next stage. There are a total of 7 stages in the curve: 1. Shock: Surprise, perceiving AI as a threat & not as a tool. 2. Denial: Disbelief that even the proposed change is necessary or not & would yield any positive results or not? 3. Awareness: Reality strikes that the proposed change is inevitable & necessary for growth. 4. Acceptance: Letting go of rigidity & embracing what AI has to offer. 5. Experimentation: Testing with new reality. 6. Searching: Assessing results from the testing. 7. Integration

1. It is important to assess the impact AI is making to existing workflows by monitoring and evaluating its impact. 2. Educating the workforce to understand the benefits of AI for using it as a tool to improve efficiency and productivity. This will help in embracing change that AI brings. 3. Redesigning workflows and suitably redefining roles by leveraging AI can help increase efficiency and productivity. 4. Understanding the technology is key for employees to adopt to the transition and manage change. Taking proactive measures can help harness the benefits of AI as a technology and remain competitive in the market.

Accepting change is crucial for progress. See AI as a way to enhance your work, not as a threat. Begin by identifying how AI changes your current processes. For example, AI could automate routine tasks, freeing up time for more complex projects. Adjust your workflow to integrate AI, using it to improve efficiency while keeping essential human roles. This approach ensures you leverage AI's benefits while maintaining the value of human expertise.

??If AI technologies are disrupting existing workflows, it's important to approach the situation with a strategic mindset. So clearly understand how AI technologies are impacting your workflows. Identify which tasks or processes are being disrupted & to what extent. This assessment will help you prioritize areas that require immediate attention. ??Also, engage with the developers or providers of the AI technologies to gain a deeper understanding of their capabilities & limitations. Collaborate with them to tailor the technologies to better fit your specific workflows & address any challenges that arise. ??Regularly evaluate new AI solutions that emerge in the market to identify opportunities for further optimization of your workflows.

A profound understanding of AI's capabilities and constraints is foundational for its seamless integration. Familiarity with various AI technologies, especially machine learning, empowers businesses to pinpoint the most appropriate AI solutions for their unique challenges. This knowledge serves as a compass, guiding the selection of AI tools that align with specific business objectives, thereby maximizing the potential of AI applications.

The more you know, the less scary it gets. In that regard, "A Human's Guide to Machine Intelligence" by Kartik Hosanagar is a fabulous start to go deep into the subject.

Understanding AI will not only help you choose the right AI tool for your business but also, will help you think outside the box as the AI will assist you doing the most repeated tasks on your work so as a result, there is a space for more thinking and creativity space to improve your workflow. Also, you can spot the team's focus on the side of creativity and innovation which AI cannot do.

In my experience working in the Conversational AI industry, there was a lot of hype created by LLMs. And many people that reached out to us because they wanted to use a LLM, didn't need to use a LLM. In a lot of cases, it did not even make sense for them to use a LLM. But it did make sense to use different AI-methods and technologies to solve their business problems. Most of the people in this situation, had done 0 due diligence to understand what they were trying to implement, and would have saved a lot of time taking some time to define what they wanted to achieve, and what AI-system would be most beneficial for that. Define what you need to achieve & Look what technology matches this need.

Deux points hyper importants : 1. Proposer des programmes de formation personnalisés : développez des programmes de formation adaptés aux besoins spécifiques de votre équipe, en se concentrant sur les compétences nécessaires pour travailler efficacement avec l'IA. 2. Mettez en place de l'apprentissage continu : encouragez l'apprentissage continu en offrant un accès à des ressources en ligne, des ateliers, et des cours pour rester à jour avec les évolutions de l'IA.

Training your team is essential when integrating AI into your workflows. Develop a program that equips your staff with the necessary skills and understanding to work alongside AI tools. Empowering your team not only aids in a smoother transition but also fosters an environment where AI and human expertise complement each other.

By training, it's likened to the sports team learning new plays that help them to better their game, and "The Master Algorithm" by Pedro Domingos could enlighten you on some basic principles behind AI that your team might find very useful.

Preparing your team to effectively collaborate with AI entails comprehensive training that demystifies AI operations and output interpretation. Such educational initiatives empower employees, equipping them with the knowledge to propose innovative ways to leverage AI. This empowerment transforms the workforce into proactive contributors to the AI integration process, fostering a culture of innovation and collaboration.

Integrating AI into workflows isn't just about the technology; it's fundamentally about people. Training programs are crucial, but equally important is fostering a culture of continuous learning and curiosity. As AI evolves, so too will the skills needed to work alongside it. Encouraging a mindset where team members are proactive in learning and adapting to new AI tools can significantly enhance the integration process and lead to innovative uses of AI within the organization.

I suggest to look at integrating AI into your business from a Pareto-efficiency standpoint: Which 20% of use-cases will produce 80% of the benefits? This is where we typically start to provide initial value that proves the product, and you can look at implementing the remaining use cases after you have created buy-in from your team and company. When people see the initial value, and see that the technology is there to help them instead of replace them: people generally become more open to adoption of AI.

Integrate AI into your workflows little by little so that everyone can slowly move and get adapted to it. "The Invitation to Machine Learning" by Ethem Alpaydin is a guide on how to incrementally learn and apply principles of AI.

Integrating AI into existing workflows should be a gradual process. Start with pilot projects or specific tasks where AI can have the most immediate impact. This phased approach allows for adjustments based on practical experience and helps the team adapt more comfortably to new technology integrations.

> Commencez par des projets pilotes limités pour tester l'intégration de l'IA dans vos processus, permettant d'ajuster et d'optimiser avant un déploiement à plus grande échelle. > Recueillez et analysez les retours de vos équipes sur l'utilisation de l'IA pour améliorer l'intégration et l'acceptation.

Integrating AI into workflows to take care of mundane activities can increase efficiency and help in freeing up time to focus on more important tasks. 1. To start with, understand the capabilities of AI. Identify the biggest pain areas in your workflows and see how AI can help 2. Educate the teams involved on the capabilities and the limitations of AI 3. Introduce AI by taking simple steps towards automation. It can be as simple as getting the summary of a long document, generating minutes of meeting, etc. 4. An integral step is to monitor the performance of AI and make suitable course corrections. 5. Gradual introduction will help in teams getting comfortable with the usage of AI and pave way to its adoption for more complex applications.

In a sense, monitoring the impact of AI is much like watching the effect on health after rolling out a new diet. The pressing needs are necessary in "Weapons of Math Destruction," by Cathy O'Neil; making changes, taking measurements, and adjustments are all for the right balance.

Monitoring the impact of AI on your workflows is crucial for understanding its efficacy and areas needing adjustment. Measure performance against key metrics to evaluate whether AI implementations are meeting your goals. Regularly reviewing these impacts guides informed decisions on scaling, modifying, or possibly rolling back certain AI integrations.

- établissez des indicateurs de performance clairs pour mesurer l'impact de l'IA sur les processus et la productivité. - Planifiez des évaluations régulières pour revoir l'efficacité de l'IA et ajuster les stratégies en conséquence.

Clearly defining the KPI's and regularly monitoring the AI's effectiveness is crucial for the success of a project. We would usually have check ins every 2 weeks, to see how the technology was performing and uncover where any changes had to be made. AI becomes more valuable over time, and often when a project is not successful, it was because it did not provide enough value in the specified time of the pilot/POC. By clearly defining the KPI's and continual monitoring, you have a clear understanding of the performance and can steer the project in the right direction by making adjustments in time.

Monitor impact and be ready to make adjustments. Anticipate some level of reluctance and dig deeper in areas for improvement where automation can supplement, not replace.

When AI technologies disrupt your workflows, the key strategy involves embracing change, understanding AI's capabilities and limitations, training your team for new technologies, gradually integrating AI, continuously monitoring its impact, and adjusting your business strategies based on insights gained. This approach involves developing skills to facilitate working with AI, maximising the positive impact of AI on workflows, and managing potential challenges effectively.

Adapting strategies in the face of AI integration means reassessing your business model and fostering innovation. For example, a traditional retail company might use AI to analyze customer data, predicting trends to tailor inventory more precisely. This could lead to a shift in the business model from merely selling products to offering personalized shopping experiences, thus opening new revenue streams like subscription services for personalized outfits. Additionally, by using AI for customer service chatbots, the company can innovate in customer engagement, offering 24/7 support. Such strategic adaptation not only keeps the business competitive but also leverages AI to enhance customer satisfaction and operational efficiency.

Adoptez une approche agile dans la gestion de projets impliquant l'IA, permettant des ajustements rapides en réponse aux résultats et aux retours.

AI is moving FAST! The capabilities of the models are only going to grow exponentially. Any AI strategy document needs to be a living one that is reviewed regularly. Any organization looking at scaling should introduce a head of AI or someone who understands the landscape and what is coming. They don;t need to be experts in the technology, but they do need to know what it is, see the future, and build the stragey around this. The topic of AI should almost be a set topic for every leadership meeting within the organization.

Be prepared to adjust your business strategies in response to the changes brought about by AI. This might involve redefining roles, altering business processes, or adopting new business models to fully capitalize on the advantages of AI.

When AI technologies disrupt existing workflows, it's crucial to swiftly assess the impact and identify opportunities for improvement. Provide education and training to empower employees to integrate AI effectively, collaborating with experts to develop strategies for seamless implementation. Implement changes gradually, fostering buy-in through change management strategies, and ensuring data quality and security. Continuously monitor and adapt workflows, maintaining flexibility and addressing ethical considerations. By embracing AI disruption strategically, organizations can unlock its potential for enhanced efficiency and innovation while mitigating challenges.

A novel approach involves forging alliances with other organizations. Eg, two firms within the same sector might join forces to exchange SME knowledge, resources, and best practices, facilitating a deeper integration of AI into their operations. This collaboration could encompass joint R&D ventures, co-creation of products, or data sharing. Ex: IBM & Salesforce collaboration, where IBM Watson's AI is integrated into Salesforce's CRM platform to streamline AI adoption for businesses, offering a comprehensive AI-powered solution. Watson's cognitive abilities provide insights into customer sentiment & analyze unstructured data, complementing Salesforce Einstein's capacity to recommend tailored actions based on these insights.

I remember my first office job. My mentor John hated computers. He use to dictate risk assessments on a tape recorder, used a calculator for financial ratios, and printed emails. I was a new business grad. I had email at school, grew up with Excel and had limited access to the office printer. Pairing the two of us together had amazing side effects. I was able to show John how to use 2000s technology to be more productive. John taught me the foundational level of risk assessment. I truly understood the process. We were the only team that could do things manually when the tech didn’t work right. This is similar to AI today. Know your workflow and leverage AI for productivity.

This section invites a broader contemplation of AI's impact, encouraging the sharing of diverse insights, narratives, and considerations. It’s an invitation to explore the wider implications of AI integration, from ethical considerations to societal impacts, enriching the dialogue around AI adoption in workflows.

Cultivate a mindset of resilience and adaptability to effectively navigate ongoing disruptions caused by AI technologies. Stay informed about advancements in AI and be proactive in managing change within your organization. Be ready for more changes in future.